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Saturday, July 08, 2017

"Big data has met its match. In field after field, the ability to collect
data has exploded—in biology, with its burgeoning databases of genomes
and proteins; in astronomy, with the petabytes flowing from sky surveys;
in social science, tapping millions of posts and tweets that ricochet
around the internet" inform Tim Appenzeller, News Editor for Science magazine.

A conceptual illustration evokes a node in a neural network, which “learns” as connections between simulated neurons change in response to inputs.KIYOSHI TAKAHASE SEGUNDO/ALAMY STOCK PHOTO

The flood of data can overwhelm human insight and
analysis, but the computing advances that helped deliver it have also
conjured powerful new tools for making sense of it all. In a revolution that extends across much of science, researchers are
unleashing artificial intelligence (AI), often in the form of artificial
neural networks, on the data torrents. Unlike earlier attempts at AI,
such “deep learning” systems don’t need to be programmed with a human
expert’s knowledge.

Instead, they learn on their own, often from large
training data sets, until they can see patterns and spot anomalies in
data sets that are far larger and messier than human beings can cope
with.

AI isn’t just transforming science; it is speaking to you in your
smartphone, taking to the road in driverless cars, and unsettling
futurists who worry it will lead to mass unemployment. For scientists,
prospects are mostly bright: AI promises to supercharge the process of
discovery...

Artificial intelligence, in so many wordsJust what do people mean by artificial intelligence (AI)? The term has never had clear
boundaries. When it was introduced at a seminal 1956 workshop at Dartmouth College,
it was taken broadly to mean making a machine behave in ways that would be called
intelligent if seen in a human. An important recent advance in AI has been machine
learning, which shows up in technologies from spellcheck to self-driving cars and is often
carried out by computer systems called neural networks. Any discussion of AI is likely
to include other terms as well.Read more...

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About Me

Hello, my name is Helge Scherlund and I am the Education Editor and Online Educator of this personal weblog and the founder of eLearning • Computer-Mediated Communication Center.
I have an education in the teaching adults and adult learning from Roskilde University, with Computer-Mediated Communication (CMC) and Human Resource Development (HRD) as specially studied subjects. I am the author of several articles and publications about the use of decision support tools, e-learning and computer-mediated communication. I am a member of The Danish Mathematical Society (DMF), The Danish Society for Theoretical Statistics (DSTS) and an individual member of the European Mathematical Society (EMS). Note: Comments published here are purely my own and do not reflect those of my current or future employers or other organizations.